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StarGAN is a PyTorch image-to-image translation framework designed to synthesize visual styles and attributes across multiple domains. It implements a generative adversarial network that serves as a deep learning image translator for modifying specific visual characteristics within an image dataset. The framework uses a single unified model to handle translations between multiple image domains rather than requiring separate pairs of models. It is a research implementation that learns mappings between different image attributes without the need for paired training data. The project covers the
This project is an unsupervised image restoration tool that uses a convolutional neural network as a structural prior to reconstruct images from noisy or incomplete data. It functions as a neural network image prior, utilizing the inherent biases of the network architecture to restore pixels without the need for a pre-trained dataset or external learning. The system performs zero-shot image restoration by treating the network architecture itself as a regularization term. It uses a randomly initialized encoder-decoder structure and iterative gradient descent to minimize pixel-wise loss, recove
Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
This code aims to reproduce results obtained in the paper "Visual Feature Attribution using Wasserstein GANs" (official repo, TensorFlow code)
The main features of orobix/visual-feature-attribution-using-wasserstein-gans-pytorch are: Computer Vision Research, Generative Models, Model Implementations.
Projects with overlapping indexed features include: yunjey/stargan — StarGAN is a PyTorch image-to-image translation framework designed to synthesize visual styles and attributes across… dmitryulyanov/deep-image-prior — This project is an unsupervised image restoration tool that uses a convolutional neural network as a structural prior… blade6570/photographicimagesynthesiswithcascadedrefinementnetworks-pytorch. alexis-jacq/pytorch-tutorials. bengxy/fastneuralstyle — Fast Neural Style for Image Style Transform by Pytorch. alexis-jacq/pytorch-sketch-rnn.